Research on Physical Fitness Prediction Model of Athletes Based on Computer Deep Learning

Abstract

This project intends to study the sports monitoring system based on Android platform in combination with the current wide application of mobile terminal devices and the needs of athletes' daily sports monitoring. This project uses the currently popular head-mounted wireless headset as the main data acquisition terminal, and transmits and decodes data through the head-mounted cable and through the voice interface on the Android platform. Finally, these data are converted into the athletes' action data, and then the mobile terminal software evaluates the athletes' training effect. Simulation results show that the system improves the accuracy of sports training. Therefore, a low-cost athlete physical monitoring system is proposed in this paper, and its realization process is analyzed in detail.